ArticleJournal of neurophysiology2006
Nonlinear information processing in a model sensory system.
Article in Journal of neurophysiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
65 citing papers in PubMed.
- Distributed burst firing mediates optimized cortical encoding of natural self-motion.Science advances · 2026Article
- Article
- Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior.iScience · 2023Article
- Article
- Stimulator compensation and generation of Gaussian noise stimuli with defined amplitude spectra for studying input-output relations of sensory systems.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Article
- Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions.Scientific reports · 2020Article
- Information filtering by coincidence detection of synchronous population output: analytical approaches to the coherence function of a two-stage neural system.Biological cybernetics · 2020Article
- Article
- Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019Article
- Article
- Statistics of Natural Communication Signals Observed in the Wild Identify Important Yet Neglected Stimulus Regimes in Weakly Electric Fish.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Descending pathways generate perception of and neural responses to weak sensory input.PLoS biology · 2018Article
- Population Coding and Correlated Variability in Electrosensory Pathways.Frontiers in integrative neuroscience · 2018Review
- SK channel subtypes enable parallel optimized coding of behaviorally relevant stimulus attributes: A review.Channels (Austin, Tex.) · 2017Review
- Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Electrosensory neural responses to natural electro-communication stimuli are distributed along a continuum.PloS one · 2017Article
- Electrosensory processing in Apteronotus albifrons: implications for general and specific neural coding strategies across wave-type weakly electric fish species.Journal of neurophysiology · 2016Article
- Self-motion evokes precise spike timing in the primate vestibular system.Nature communications · 2016Article
- Optimized Parallel Coding of Second-Order Stimulus Features by Heterogeneous Neural Populations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Understanding the mechanisms by which sensory neurons encode and decode information remains an important goal in neuroscience. We quantified the performance of optimal linear and nonlinear encoding models in a well-characterized sensory system: the electric sense of weakly electric fish. We show that linear encoding models generally perform better under spatially localized stimulation than under spatially diffuse stimulation. Through pharmacological blockade of feedback input and spatial saturation of the receptive field center, we show that there is significantly less synaptic noise under spatially diffuse stimuli as compared with spatially localized stimuli. Modeling results suggest that pyramidal cells nonlinearly encode sensory information through shunting in their dendrites and clarify the influence of synaptic noise on the performance of linear encoding models. Finally, we used information theory to quantify the performance of linear decoders. While the optimal linear decoder for spatially localized stimuli could capture 60% of the information in pyramidal cell spike trains, the optimal linear decoder for spatially diffuse stimuli could only capture 40% of the information. These results show that nonlinear decoders are necessary to fully access information in pyramidal cell spike trains, and we discuss potential mechanisms by which higher-order neurons could decode this information.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.